BeatSeat
044240d8eb
Signed-off-by: BeatSeat <wendavid552@gmail.com> Signed-off-by: David <david@podcast.ai> Signed-off-by: wendavid552 <wendavid552@gmail.com> Signed-off-by: WenDavid <davidzhangcf@foxmail.com>
83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""E2E online serving tests for IndexTTS2 via /v1/audio/speech endpoint.
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Two-stage pipeline: GPT AR → S2Mel + BigVGAN. Output is 22050 Hz mono WAV.
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Covers: basic TTS and the speech endpoint's stream=True compatibility path.
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"""
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from __future__ import annotations
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import os
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os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
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import pytest
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from tests.helpers.mark import hardware_test
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from tests.helpers.media import load_test_audio_data_url
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from tests.helpers.runtime import OmniServerParams
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from tests.helpers.stage_config import get_deploy_config_path
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pytestmark = [pytest.mark.advanced_model, pytest.mark.tts]
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MODEL = "IndexTeam/IndexTTS-2"
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REF_AUDIO_URL = load_test_audio_data_url("indextts2/ref_audio.wav")
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tts_server_params = [
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pytest.param(
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OmniServerParams(
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model=MODEL,
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stage_config_path=get_deploy_config_path("indextts2.yaml"),
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server_args=["--disable-log-stats"],
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),
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id="indextts2",
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)
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]
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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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def test_basic_english(omni_server, openai_client) -> None:
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"""
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Basic English TTS: text + ref_audio, no emotion.
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Deploy Setting: default yaml
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Input Modal: text + reference audio
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Output Modal: audio (22050 Hz, WAV)
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Input Setting: stream=False
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"""
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request_config = {
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"model": omni_server.model,
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"input": "Hello, this is a voice cloning demo.",
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"stream": False,
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"response_format": "wav",
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"ref_audio": REF_AUDIO_URL,
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"min_audio_bytes": 1024,
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}
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openai_client.send_audio_speech_request(request_config)
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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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def test_streaming(omni_server, openai_client) -> None:
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"""
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stream=True compatibility: IndexTTS2 itself is non-async-chunking, but the
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OpenAI speech endpoint should still accept the streaming request path and
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return a valid PCM response.
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Deploy Setting: default yaml
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Input Modal: text + reference audio
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Output Modal: audio (22050 Hz, PCM)
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Input Setting: stream=True
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"""
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request_config = {
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"model": omni_server.model,
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"input": "Hello, this is a voice cloning demo.",
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"stream": True,
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"response_format": "pcm",
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"ref_audio": REF_AUDIO_URL,
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"min_audio_bytes": 1024,
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}
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openai_client.send_audio_speech_request(request_config)
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